Gen AI Engineer

Gen AI Engineer Location: Richardson, TX, Onsite (3 days) Duration: Long term contract Experience: 8+ years in technology, data engineering, Big Data, AI/ ML systems with proven experience at Palantir, Google, or Microsoft Project Overview As a Generative AI Engineer, you’ll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You’ll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions. What Does a Typical Day Look Like? • Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks. • Integrate GenAI models into full-stack applications and internal workflows. • Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs. • Build reusable components and services for multi-agent orchestration and task automation. • Optimize AI inference pipelines for scalability, latency, and cost efficiency. • Participate in architectural discussions, contributing to the pod’s technical roadmap. Required Skills • 8 years of software engineering experience with at least 3 years in AI/ML or GenAI systems in production • Hands-on experience with Python only for AI/ML model integration. • Experience with LLM frameworks (LangChain, LlamaIndex is a must) • Exposure to agentic frameworks (Langgraph, Google ADK, is a must) • Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices. • Familiarity with Google Cloud Platform (GCP) — e.g. Vertex AI, Cloud Run, and GKE.